Data Compression Techniques Seminar report







Data compression is the process of converting an input data stream or the source stream or the original raw data into another data stream that has a smaller size. There are two basic types of data compression. 1. Lossy compression 2. Lossless compression
LOSSY COMPRESSION
In lossy compression some information is lost during the processing, where the image data is stored into important and unimportant data. The system then discards the unimportant data It provides much higher compression rates but there will be some loss of information compared to the original source file. The main advantage is that the loss cannot be visible to eye or it is visually lossless. Visually lossless compression is based on knowledge about colour images and human perception.
LOSSLESS COMPRESSION
In this type of compression no information is lost during the compression and the decompression process. Here the reconstructed image is mathematically and visually identical to the original one. It achieves only about a 2:1 compression ratio. This type of compression technique looks for patterns in strings of bits and then expresses them more concisely.






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